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SAP C_SAC_2501 Exam Syllabus Topics:

Topic
Details

Topic 1

Connections and Data Preparation: This section targets Data Engineers and covers connections and data preparation, The focus is on connecting to data sources and preparing data for visualization.

Topic 2

Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.

Topic 3

Performance, Troubleshooting, and Security Management: This section measures the skills of IT Administrators and covers performance, troubleshooting, and security management, making up less than 10% of the exam. It focuses on optimizing performance, resolving issues, and ensuring data security in data visualization environments.

Topic 4

Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.

Topic 5

Story Design: This section of the exam measures the skills of Data Analysts and covers story design concepts, accounting for The focus on creating effective visualizations and narratives using data.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q61-Q66):

NEW QUESTION # 61
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

A. Forecast
B. Actual
C. Predictive
D. Budget

Answer: A,B

NEW QUESTION # 62
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

A. Measures
B. Hierarchies
C. Calculations
D. Dimensions

Answer: A,D

Explanation:
In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models

NEW QUESTION # 63
What is required to use version management in a story?

A. Optimized mode
B. Planning model
C. Analytic model
D. Classic mode

Answer: B

Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning

NEW QUESTION # 64
What must you use to transform data in a dataset using if/then/else logic?

A. Calculations editor
B. Transform bar
C. Custom expression editor
D. Formula bar

Answer: C

Explanation:
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation

NEW QUESTION # 65
What features are supported by data analyzer? Note: There are 3 correct answers to this question.

A. Input controls
B. Conditional formatting
C. Calculated measures
D. Linked dimensions
E. Charts

Answer: B,C,E

NEW QUESTION # 66
......

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